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hardhat
View on CRAN: Click
here
Download and install hardhat package within the R console
Install from CRAN:
install.packages("hardhat")
Install from Github:
library("remotes")
install_github("cran/hardhat")
Install by package version:
library("remotes")
install_version("hardhat", "1.4.0")
Attach the package and use:
library("hardhat")
Maintained by
Hannah Frick
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-16
Latest Update: 2023-03-30
Description:
Building modeling packages is hard. A large amount of effort
generally goes into providing an implementation for a new method that
is efficient, fast, and correct, but often less emphasis is put on the
user interface. A good interface requires specialized knowledge about
S3 methods and formulas, which the average package developer might not
have. The goal of 'hardhat' is to reduce the burden around building
new modeling packages by providing functionality for preprocessing,
predicting, and validating input.
How to cite:
Hannah Frick (2019). hardhat: Construct Modeling Packages. R package version 1.4.0, https://cran.r-project.org/web/packages/hardhat. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2019-12-16 11:00), 0.1.1 (2020-01-09 00:01), 0.1.2 (2020-02-28 08:20), 0.1.3 (2020-05-20 19:30), 0.1.4 (2020-07-02 16:40), 0.1.5 (2020-11-09 17:50), 0.1.6 (2021-07-14 23:30), 0.2.0 (2022-01-24 22:12), 1.0.0 (2022-06-01 23:30), 1.1.0 (2022-06-10 17:30), 1.2.0 (2022-06-30 15:50), 1.3.0 (2023-03-30 11:20), 1.3.1 (2024-02-02 16:20)
Other packages that cited hardhat R package
View hardhat citation profile
Other R packages that hardhat depends,
imports, suggests or enhances
Complete documentation for hardhat
Functions, R codes and Examples using
the hardhat R package
Some associated functions: add_intercept_column . contr_one_hot . default_formula_blueprint . default_recipe_blueprint . default_xy_blueprint . delete_response . extract_ptype . fct_encode_one_hot . forge . frequency_weights . get_data_classes . get_levels . hardhat-example-data . hardhat-extract . hardhat-package . importance_weights . is_blueprint . is_case_weights . is_frequency_weights . is_importance_weights . model_frame . model_matrix . model_offset . modeling-usethis . mold . new-blueprint . new-default-blueprint . new_case_weights . new_frequency_weights . new_importance_weights . new_model . recompose . refresh_blueprint . run-forge . run-mold . scream . shrink . spruce-multiple . spruce . standardize . tune . update_blueprint . validate_column_names . validate_no_formula_duplication . validate_outcomes_are_binary . validate_outcomes_are_factors . validate_outcomes_are_numeric . validate_outcomes_are_univariate . validate_prediction_size . validate_predictors_are_numeric . weighted_table .
Some associated R codes: blueprint-formula-default.R . blueprint-formula.R . blueprint-recipe-default.R . blueprint-recipe.R . blueprint-xy-default.R . blueprint-xy.R . blueprint.R . case-weights.R . classes.R . compost.R . constructor.R . delete-response.R . encoding.R . extract.R . forge.R . hardhat-example-data.R . hardhat-package.R . import-standalone-obj-type.R . import-standalone-purrr.R . import-standalone-types-check.R . intercept.R . levels.R . model-frame.R . model-matrix.R . model-offset.R . mold.R . new.R . print.R . ptype.R . recompose.R . scream.R . shrink.R . spruce.R . standardize.R . table.R . tune.R . use.R . util.R . validation.R . Full hardhat package functions and examples
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